Bayesian Survival Analysis Using A Mars Model
Version of Record online: 25 MAY 2004
Volume 55, Issue 4, pages 1071–1077, December 1999
How to Cite
Mallick, B. K., Denison, D. G. T. and Smith, A. F. M. (1999), Bayesian Survival Analysis Using A Mars Model. Biometrics, 55: 1071–1077. doi: 10.1111/j.0006-341X.1999.01071.x
- Issue online: 25 MAY 2004
- Version of Record online: 25 MAY 2004
- Received May 1997. Revised March 1999. Accepted March 1999.
- Bayesian methods;
- Hazard regression;
- Multivariate adaptive regression splines;
- Reversible jump Markov chain Monte Carlo;
- Stochastic search
Summary. A Bayesian multivariate adaptive regression spline fitting approach is used to model univariate and multivariate survival data with censoring. The possible models contain the proportional hazards model as a subclass and automatically detect departures from this. A reversible jump Markov chain Monte Carlo algorithm is described to obtain the estimate of the hazard function as well as the survival curve.